Indonesia Financial Data MCP
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dml-bps-mcpofficial
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TDQS
Scored across 10 tools
Each tool is clearly scoped to a specific data source (bps_, idx_, ksei_) and a distinct operation (e.g., get_data vs list_subjects). No two tools overlap in purpose; even similar operations like 'list' targets different entities across sources.
All tool names follow a consistent snake_case format with a source prefix (bps_, idx_, ksei_) and a descriptive verb_noun pattern. The naming is predictable and unambiguous.
With 10 tools covering three distinct data sources plus a health check, the count is well-balanced. It covers core operations without being overwhelming or too sparse.
The tool set covers the main workflows for each data source: listing entities, retrieving details, and fetching data. The BPS tools lack an explicit period listing (implied by get_data parameters), and IDX lacks trading data, but the coverage is reasonable for the stated domain.